Sentence examples for prodigal use from inspiring English sources

Here is Field Marshal Walter Model, Hitlerr's fireman," sent in to shore up the Führer's crumbling Western Front: "a caustic, devout Lutheran with an adhesive memory, a taste for French red wine and a belief in the prodigal use of firing squads for shirkers".

Tells about infectious diseases which did not respond to antibiotics which led to a statement by one scientist that unless we put a halt to the prodigal use of antibiotics we may soon be forced back into the pre-antibiotic era of medicine.

We attribute the differences to two factors: (1) the version of Prodigal used by Genbank (1.20 rather than 1.10), and (2) the way Prodigal was run.

Prodigal uses bins 0 27, with 0 indicating the absence of SD motif, the lowest score, and 27 being the highest scoring motif.

The gene finder Prodigal was used on DNA sequences of all genomes to eliminate biases in annotation quality and to standardize the genes found in all genomes [ 15].

The contigs resulting from each of the above assembly strategies were used for ORF prediction using Prodigal (Hyatt et al. 2010).

This includes the application of a number of annotation programs beginning with open reading frame (ORF) prediction using Prodigal [86] followed by manual annotation using the JGI GenePrimp pipeline [87].

In an effort to perform a whole genome re-annotation using Prodigal 2 [ 9], ORFs were annotated using BLASP.

Protein-coding sequences predictions were performed using Prodigal v2.0 (Hyatt et al. 2010), rRNA were predicted using rnammer v1.2 (Lagesen et al. 2007), whereas transfer RNA (tRNA) were predicted using tRNAscan-SE v1.3 (Lowe and Eddy 1999).

The 22 scaffolds underwent a first round of open reading frame (ORF) prediction using Prodigal v2.5 (Hyatt et al. 2010) and were annotated using BASys server v1.0 (Van Domselaar et al. 2005).

The four contigs underwent a first round of open reading frame (ORF) prediction using Prodigal v2.5 (Hyatt et al. 2010) and were annotated using BASys server v1.0 (Van Domselaar et al. 2005).